Cooperative Agreement W911NF1820099

This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program totaling $174,952 will support the development of explainable mathematical frameworks and algorithms for integrating multi-source sensor data from multiple modalities. The awardee, the Regents of the University of Michigan, will receive the funding from May 1, 2022 to April 30, 2024. The project aims to advance fundamental knowledge in explainable data integration through a weakly...

This National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences award under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $1,646,782 in funding to Trustees of Boston University over 5 years to develop a brain-inspired algorithm for complex scene analysis. The key products and services being delivered include: The research integrates three interdisciplinary threads to develop this algorithm: Using brain imaging and machine learning to decode...

This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $170,000 to Michigan State University (MSU) for a 3-year project titled "Next-Generation Functional Data Analysis via Machine Learning". The project aims to develop advanced machine learning and artificial intelligence methodologies tailored for the analysis of complex, high-dimensional functional data that are becoming more prevalent across various...

The National Science Foundation awarded University of California Irvine a $499,793 Project Grant under the federal Computer and Information Science and Engineering grant program (CFDA 47.070). The grant will support the development of brain-inspired machine learning algorithms to provide real-time feedback to sensors and intelligently control data generation rates. This is expected to reduce sensor data outputs by up to four orders of magnitude for applications in infrastructure, mobile devices,...

This five-year, $199,995 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop a co-designed framework of hardware, software, and algorithms enabling extreme-scale machine learning systems for emerging artificial intelligence of things and internet of senses technologies. Specifically, the Saint Louis University team will pursue five research thrusts: developing hardware and compiler approaches for large-scale split learning...

This $250,000 National Science Foundation project grant supports research at Florida International University to develop artificial intelligence techniques for radio frequency machine learning and spectrum situational awareness. Led by FIU, the research team will create lifelong incremental learning approaches to spectrum management and dynamic spectrum access enabled by advanced hardware innovations. The team aims to improve spectrum utilization and coexistence of competing users through a...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant award of $600,000 to the Massachusetts Institute of Technology (MIT) supports research into developing better algorithms for machine learning problems that involve sequential data with rich dependency structures. The project will explore learning methods for linear dynamical systems, graphical models, and hidden Markov models, with the goal of proving rigorous theoretical...

This Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) provides $720,000 in funding to the University of the District of Columbia (UDC) to conduct research on using machine learning and deep learning algorithms for standoff detection of threat chemicals. The project aims to advance the computational techniques for distinguishing explosives and other illicit substances from benign background materials using infrared backscatter...

This $300,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) supports a collaborative research project between Florida International University (FIU), Auburn University, the Indian Institute of Technology Kanpur, and the International Institute of Information Technology Naya Raipur. The project aims to develop deep learning-based localization and sensing capabilities for unmanned aerial vehicle (UAV)...

This Project Grant from the National Science Foundation's $366,083 Engineering program will fund research at the University of Washington to develop a theoretical and algorithmic framework for reliably combining heterogeneous and asynchronous sensor data streams to achieve fast situational awareness and robust feedback response. The research aims to advance foundational knowledge for designing next-generation critical systems that assist humans in data-intensive situations. Specifically, the...